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Data Engineer - Data Platform
- San Jose, Arizona, United States
- San Jose, Arizona, United States
Über
Design and build data transformations efficiently and reliably for different purposes (e.g. reporting, growth analysis, multi‑dimensional analysis). Design and implement reliable, scalable, robust, and extensible big data systems that support core products and business. Establish solid design and best engineering practice for engineers as well as non‑technical people. Qualifications
BS or MS degree in Computer Science or related technical field or equivalent practical experience. Experience in Big Data technologies (Hadoop, MapReduce, Hive, Spark, Metastore, Presto, Flume, Kafka, ClickHouse, Flink, etc.). Experience with performing data analysis, data ingestion and data integration. Experience with ETL (Extraction, Transformation & Loading) and architecting data systems. Experience with schema design, data modeling and SQL queries. Passionate and self‑motivated about technologies in the Big Data area. Compensation and Benefits
Base salary range for this position in the selected city is $156,000 – $387,600 annually. Benefits include: medical, dental, and vision insurance; a 401(k) savings plan with company match; paid parental leave; short‑term and long‑term disability coverage; life insurance; wellbeing benefits; 10 paid holidays per year; 10 paid sick days per year; and 17 days of paid personal time (pro‑rated upon hire with increasing accruals by tenure). EEO & Fair Chance Ordinance
Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems. Exercising sound judgment.
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- English
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